Hi, Spring (and Java) fans! In this episode I am beyond delighted to talk Java developer advocate and longtime friend of the show Billy Korando about the latest-and-greatest in the Java ecosystem.

The Agent2Agent (A2A) Protocol is an open standard for seamless AI agent communication. It enables agents to discover capabilities, exchange messages, and coordinate workflows across platforms—regardless of their implementation.

Spring AI A2A integrates the A2A Java SDK with Spring AI through Spring Boot autoconfiguration. It seamlessly connects the A2A protocol with Spring AI's ChatClient and tools, enabling you to expose your agents as A2A servers.

This post is part of the Spring AI Agentic Patterns series. While previous posts covered making individual agents more capable (Agent Skills, AskUserQuestionTool, TodoWriteTool, Sub-agent orchestration), this post shows how the A2A Protocol enables agents to…

In this blog, we show how using Spring AI, we can integrate with Anthropic's Native Skills API for Cloud-Based Document Generation and Custom Skills.

Spring AI adds support for Anthropic's Agent Skills — modular capabilities that let Claude generate actual files rather than text descriptions. With Skills enabled, Claude produces real Excel spreadsheets, PowerPoint presentations, Word documents, and PDFs that you can download and use directly.

This post covers how Spring AI integrates with Skills, including both pre-built Skills and Custom Skills for organization-specific document generation.

…

Instead of one generalist agent doing everything, delegate to specialized agents. This keeps context windows focused—preventing the clutter that degrades performance.

Task tool, part of the spring-ai-agent-utils toolkit, is a portable, model-agnostic Spring AI implementation inspired by Claude Code's subagents. It enables hierarchical agent architectures where specialized subagents handle focused tasks in dedicated context windows, returning only essential results to the parent. Beyond Claude's markdown-based format, the architecture is extensible—supporting A2A and other agentic protocols…

Hi, Spring fans! Welcome to another installment of This Week in Spring! As I write this, I cannot believe we're nearly at the end of the month! Time sure flies.

• Spring AI 2.0.0-M2 is available now
• Spring Modulith 2.1 M1, 2.0.2, and 1.4.7 released
• In last week's installment of A Bootiful Podcast, I talked to JetBrains legend Dmitry Jemerov
• Spring Boot 3.5.10 is available now
• Spring Boot 4.0.2 is available now
• Spring Boot 4.1.0-M1 is available now
• Spring Batch 6.0.2 available now
• Spring Integration 7.1.0-M1 is available now
• Spring AI Agentic Patterns (pt. 3): Why Your AI Agent Forgets Tasks (and How to Fix It)
• Have you heard of WiseMapping? It's a fully open-source mind-mapping software suite with a web and desktop client and a backend written in Spring Boot. Neat…

Hi, Spring and IntelliJ IDEA fans! This week we celebrate 25 years of Jetbrains IntelliJ IDEA, and who better to talk to us about its evolution than Dmitry Jemerov, whose been a contributor and developer for the project since 2003!

Have you ever asked an AI agent to perform a complex multi-step task, only to find it skipped a critical step halfway through? You're not alone.

Research shows that LLMs struggle with "lost in the middle" failures—forgetting tasks buried in long contexts. When your agent juggles file edits, test execution, and documentation updates, important steps can silently disappear. One solution, inspired by Claude Code, is to make planning explicit and observable with the help of a dedicated TodoWrite tool. The result: agents that never skip steps and workflows you can observe in real-time.

This is Part 3 of our Spring AI Agentic Patterns series. We've covered Agent Skills for modular capabilities and AskUserQuestionTool for interactive workflows. Now we explore how TodoWriteTool…

Hi, Spring fans! Welcome to another installment of This Week in Spring! It's already the 20th of January and we are off on yet another rip roarin' adventure as we look at the week that has been... this week in Spring!

• even more good stuff from Spring AI team legend Christian Tsolov, this one on Spring AI agentic patterns (part 2!): AskUserQuestionTool. This blog is about agents that clarify before acting
• Spring Security 7.1.0M1 is available now
• Spring Data 2025.1.2 and 2025.0.8 released
• Spring Framework 7.0.3 is available now
• in last week's installment of A Bootiful Podcast, I talked to everyone's favorite observability otter, Jonatan Ivanov, about Micrometer and observability and all the things
• looks interesting - a video on Spring AI integrations with Geminni AI and Github CoPilot
• another interesting post on …

Traditional AI interactions follow a common pattern: you provide a prompt, the AI makes assumptions, and produces a response. When those assumptions don't match your needs, you're left iterating through corrections. Each assumption creates rework—wasting time and context.

What if your AI agent could ask you clarifying questions before providing answers?

The AskUserQuestionTool addresses this. It allows the AI agent to ask clarifying questions before answering, gathers requirements interactively, and creates a specification aligned with your actual needs from the start.

Spring AI's…